In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

Abstract: Path planning is fundamental for controlling orthopedic robots and vital in ensuring surgical safety. To address the problem of low path-planning efficiency in traditional path planning ...

Abstract: Pathfinding is widely applied when encountering autonomous driving, mobile robot pathfinding, and so on. Traditional pathfinding algorithms have certain limitations such as high ...